Plot the concept counts of a summariseConceptSetCounts output

Usage

plotConceptSetCounts(result, facet = NULL, colour = NULL)

Arguments

result: A summarised_result object (output of summariseConceptSetCounts()).
facet: Columns to face by. Formula format can be provided. See possible columns to face by with: visOmopResults::tidyColumns().
colour: Columns to colour by. See possible columns to colour by with: visOmopResults::tidyColumns().

Value

A plot visualisation.

Examples

# \donttest{
library(dplyr)
library(OmopSketch)
library(omock)

cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb")
#> ℹ Reading GiBleed tables.
#> ℹ Adding drug_strength table.
#> ℹ Creating local <cdm_reference> object.
#> ℹ Inserting <cdm_reference> into duckdb.

result <- summariseConceptSetCounts(
  cdm = cdm,
  conceptSet = list(
    "asthma" = c(4051466, 317009),
    "rhinitis" = c(4280726, 4048171, 40486433)
  )
)
#> Warning: `summariseConceptSetCounts()` was deprecated in OmopSketch 0.5.0.
#> Warning: ! `codelist` casted to integers.
#> ℹ Searching concepts from domain condition in condition_occurrence.
#> ℹ Counting concepts

result |>
  filter(variable_name == "Number subjects") |>
  plotConceptSetCounts(
    facet = "codelist_name",
    colour = "standard_concept_name"
  )
#> Warning: `plotConceptSetCounts()` was deprecated in OmopSketch 0.5.0.


cdmDisconnect(cdm = cdm)
# }